The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices-Reference-Cited by-同舟云学术

The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices

Published:2017-05 Issue: Volume:73 Page:125-144
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Oliveira Nuno^ORCID,Cortez Paulo,Areal Nelson^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference64 articles.

1. Quantifying stocktwits semantic terms’ trading behavior in financial markets: An effective application of decision tree algorithms;Al Nasseri;Expert Systems with Applications,2015

2. Is all that talk just noise? The information content of internet stock message boards;Antweiler;The Journal of Finance,2004

3. The realized volatility of ftse-100 futures prices;Areal;Journal of Futures Markets,2002

4. Evaluating forecasting methods;Armstrong,2001

5. Error measures for generalizing about forecasting methods: Empirical comparisons;Armstrong;International journal of forecasting,1992

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